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the role of stress-controlled structural permeability in hydrogen migration. The project will also investigate the petrophysical and fluid-flow properties of fault rocks and interrogate paleo-episodes
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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reservoir engineering, the main research is focused on mathematical physics, exact and asymptotic solutions of non-linear partial differential equations, and analytical methods in fluid mechanics. MSc
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encompassing postdoctoral researchers, PhD and Honours students, and collaborate with national and international researchers in academia and industry. Eligibility: Must be an Australian/New Zealand Citizen